Yinglong Dai

Orcid: 0000-0001-5913-8774

According to our database1, Yinglong Dai authored at least 19 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Analysis of multimodal data fusion from an information theory perspective.
Inf. Sci., April, 2023

Interpreting a deep reinforcement learning model with conceptual embedding and performance analysis.
Appl. Intell., March, 2023

An Alignment and Matching Network with Hierarchical Visual Features for Multimodal Named Entity and Relation Extraction.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
A closed-loop healthcare processing approach based on deep reinforcement learning.
Multim. Tools Appl., 2022

Hierarchical Policies of Subgoals for Safe Deep Reinforcement Learning.
Proceedings of the Ubiquitous Security - Second International Conference, 2022

2021
Construction of Double-Precision Wisdom Teaching Framework Based on Blockchain Technology in Cloud Platform.
IEEE Access, 2021

A Backdoor Embedding Method for Backdoor Detection in Deep Neural Networks.
Proceedings of the Ubiquitous Security - First International Conference, 2021

Skill Reward for Safe Deep Reinforcement Learning.
Proceedings of the Ubiquitous Security - First International Conference, 2021

2020
A deep inference learning framework for healthcare.
Pattern Recognit. Lett., 2020

A multimodal deep architecture for traditional Chinese medicine diagnosis.
Concurr. Comput. Pract. Exp., 2020

A Simple Analysis of Multimodal Data Fusion.
Proceedings of the 19th IEEE International Conference on Trust, 2020

2018
Conceptual alignment deep neural networks.
J. Intell. Fuzzy Syst., 2018

Analyzing Tongue Images Using a Conceptual Alignment Deep Autoencoder.
IEEE Access, 2018

A Body Simulator with Delayed Health State Transition.
Proceedings of the 2018 IEEE SmartWorld, 2018

2017
Package balancing k-means algorithm for physical distribution.
Int. J. Comput. Sci. Eng., 2017

Building deep architectures for traditional chinese medicine diagnosis.
Proceedings of the 2017 IEEE SmartWorld, 2017

Using Deep Neural Networks to Simulate Human Body.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2016
Building Bayesian Inference Graphs for Healthcare Statistic Evidence.
Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016

Exploring Body Constitution in Traditional Chinese Medicine with K-Means Clustering.
Proceedings of the Advances in Services Computing, 2016


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